Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days
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Updated
Jun 11, 2024 - TypeScript
Google BigQuery enables companies to handle large amounts of data without having to manage infrastructure. Google’s documentation describes it as a « serverless architecture (that) lets you use SQL queries to answer your organization's biggest questions with zero infrastructure management. BigQuery's scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes. » Its client libraries allow the use of widely known languages such as Python, Java, JavaScript, and Go. Federated queries are also supported, making it flexible to read data from external sources.
📖 A highly rated canonical book on it is « Google BigQuery: The Definitive Guide », a comprehensive reference.
Another enriching read on the subject is the inside story told in the article by the founding product manager of BigQuery celebrating its 10th anniversary.
Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Scalefree's dbt package for a Data Vault 2.0 implementation congruent to the original Data Vault 2.0 definition by Dan Linstedt including the Staging Area, DV2.0 main entities, PITs and Snapshot Tables.
Main repo including core data model, data marts, reference data, terminology, and the clinical concept library
The open source high performance ELT framework powered by Apache Arrow
Rewrite BigQuery, Redshift, Snowflake and Databricks queries into DuckDB compatible SQL (with deep transformation of functions, data types and format characters) using Java.
Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
蒐集玩運彩網站主推榜的比賽預測,協助進行分析。
the portable Python dataframe library
Data Catalogs Made Easy
Convert JSON schema to Google BigQuery schema
HTTP Archive's annual "State of the Web" report made by the web community
Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Released May 19, 2010